KFU. Card publication. End-to-end deep framework for disease named entity recognition using social media data

KAZAN
FEDERAL UNIVERSITY

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END-TO-END DEEP FRAMEWORK FOR DISEASE NAMED ENTITY RECOGNITION USING SOCIAL MEDIA DATA

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Tutubalina Elena Viktorovna, author

Bibliographic description in the original language

Miftahutdinov Z, Tutubalina E., End-to-end deep framework for disease named entity recognition using social media data//IEEE 30th Jubilee Neumann Colloquium, NC 2017. - 2018. - Vol.2018-January, Is.. - P.47-52.

Keywords

natural language processing

The name of the journal

IEEE 30th Jubilee Neumann Colloquium, NC 2017

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047745771&doi=10.1109%2fNC.2017.8263281&partnerID=40&md5=717a2eee2dcc974aa0463cc29c554b52

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=183781&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Tutubalina Elena Viktorovna	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Miftahutdinov Z, Tutubalina E., End-to-end deep framework for disease named entity recognition using social media data//IEEE 30th Jubilee Neumann Colloquium, NC 2017. - 2018. - Vol.2018-January, Is.. - P.47-52.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=183781&p_lang=2	ru_RU
dc.description.abstract	IEEE 30th Jubilee Neumann Colloquium, NC 2017	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	End-to-end deep framework for disease named entity recognition using social media data	ru_RU
dc.type	Articles in international journals and collections	ru_RU